Publication2009
Use of sequential leaching, mineralogy, morphology and multivariate statistical technique for quantifying metal pollution in highly polluted aquatic sediments-A case study: Brahmani and Nandira Rivers, India
The record
- Type
- Publication
- Date
- 3 April 2009
- Level
- National
- Journal
- Journal of Hazardous Materials
- Volume
- 163
- Issue
- 2-3
- Pages
- 632-644
- Published
- 3 April 2009
- DOI
- 10.1016/j.jhazmat.2008.07.048
- Scopus ID
- 59849107250
- ISSN
- 03043894
- Authors
- 4
- Open access
- No
- Citations
- 143
- International co-authorship
- No
- Co-author countries
- IN
Classification
Every label below carries the reasoning it was assigned on, the confidence band it was assigned in, and what produced it. The rubric is published.
UN Sustainable Development Goals
6 Ensure availability and sustainable management of water and sanitation for all
Sequential metal leaching analysis of Brahmani and Nandira river sediments identifies high environmental risk from exchangeable fraction of cobalt, lead and nickel.
- High confidence
- The subject matter is a strong and direct inference from the record type, the funding or organising body, or the programme context, even where the title alone is thin. Example: an ICMR-funded project against SDG 3, on the strength of the agency.
- Judged
- Judged against the published classification rubric, under the rubric and prompt versions recorded with the run that produced it.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Viksit Bharat @2047
vb-2.5 Green economy, energy transition and climate resilience
Aquatic sediment contamination assessment and metal pollution characterization support water resource management and environmental remediation.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Each label above carries the instrument and the version that produced it. How each classification is reached.
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- Source rows resolved into this record
- 1
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Citing this record
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KIIT Deemed to be University. “Use of sequential leaching, mineralogy, morphology and multivariate statistical technique for quantifying metal pollution in highly polluted aquatic sediments-A case study: Brahmani and Nandira Rivers, India”. Kortex.